|
--- |
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language: |
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- fr |
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widget: |
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- text: je commence à me sentir déprimé |
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- text: je me sentirais honoré et béni |
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- text: je réalise que jai des amis je suis surpris |
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- text: quand jai failli me faire tabasser par le frère de ma copine |
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pipeline_tag: text-classification |
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tags: |
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- CamemBERT |
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- emotion |
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- text-classification |
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- pytorch |
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- latest |
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datasets: |
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- botdevringring/FR_emotion_classification |
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- dair-ai/emotion |
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metrics: |
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- Accuracy, F1 Score |
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model-index: |
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- name: botdevringring/fr-naxai-ai-emotion-classification-081808122023 |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: emotion |
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type: emotion |
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config: default |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.896 |
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name: Accuracy |
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verified: true |
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- type: precision |
|
value: 0.897 |
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name: Precision Macro |
|
verified: true |
|
- type: precision |
|
value: 0.896 |
|
name: Precision Micro |
|
verified: true |
|
- type: precision |
|
value: 0.897 |
|
name: Precision Weighted |
|
verified: true |
|
- type: recall |
|
value: 0.896 |
|
name: Recall Macro |
|
verified: true |
|
- type: recall |
|
value: 0.896 |
|
name: Recall Micro |
|
verified: true |
|
- type: recall |
|
value: 0.896 |
|
name: Recall Weighted |
|
verified: true |
|
- type: f1 |
|
value: 0.896 |
|
name: F1 Macro |
|
verified: true |
|
- type: f1 |
|
value: 0.895 |
|
name: F1 Micro |
|
verified: true |
|
- type: f1 |
|
value: 0.895 |
|
name: F1 Weighted |
|
verified: true |
|
--- |
|
|
|
botdevringring/fr-naxai-ai-emotion-classification-081808122023(latest) |
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=============== |
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|
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The model is trained on the emotion classification task in the **French** language. It uses 6 labels: |
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- LABEL 0 : ***sadness*** |
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- LABEL 1 : ***joy*** |
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- LABEL 2 : ***love*** |
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- LABEL 3 : ***anger*** |
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- LABEL 4 : ***fear*** |
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- LABEL 5 : ***surprise*** |
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|
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This model is finetuned from [distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base). |
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A distillation version of the [CamemBERT](https://huggingface.co/camembert-base) model, a RoBERTa French model version. |
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|
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|
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## Model Details |
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- Language: fr |
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- Problem type: Multi-class Classification |
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- Model Architecture: CamemBERT |
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- Model Name: fr-naxai-ai-emotion-classification-081808122023 |
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- Creation date: |
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|
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## Classification Report: |
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|
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| **Label** | **Precision** | **Recall** | **f1-Score** | **Support** | |
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|-------------:|---------------:|-----------:|-------------:|------------:| |
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| anger | 0.91 | 0.91 | 0.91 | 2824 | |
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| fear | 0.89 | 0.87 | 0.88 | 2824 | |
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| joy | 0.91 | 0.82 | 0.87 | 2824 | |
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| love | 0.88 | 0.92 | 0.90 | 2824 | |
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| sadness | 0.93 | 0.90 | 0.91 | 2823 | |
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| surprise | 0.89 | 0.98 | 0.93 | 2824 | |
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|
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|
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## How to use this model |
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------------------------------------ |
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You can use Python to access this model: |
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|
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```python |
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from transformers import pipeline |
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|
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analyzer = pipeline( |
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task='text-classification', |
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model='botdevringring/fr-naxai-ai-emotion-classification-081808122023', |
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tokenizer='botdevringring/fr-naxai-ai-emotion-classification-081808122023' |
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) |
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result = analyzer( |
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"je commence à me sentir déprimé" |
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) |
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|
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result |
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|
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[ |
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{ |
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'label': 'sadness', |
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'score': 0.999739944934845 |
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} |
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] |
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``` |
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Or you can use cURL: |
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|
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``` |
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curl https://api-inference.huggingface.co/models/botdevringring/fr-naxai-ai-emotion-classification-081808122023 \ |
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-X POST \ |
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-d '{"inputs": "je commence à me sentir déprimé"}' \ |
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-H 'Content-Type: application/json' \ |
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-H "Authorization: Bearer <Your HF API token>" |
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``` |
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|
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## Acknowledgements |
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Model trained by [Eduardo Brigham](https://www.linkedin.com/in/eduardobrigham/) for [Naxai](https://www.naxai.com/) powered by [The Ring Ring Company](https://www.ringring.be/) |
